Download Advances in Face Image Analysis: Techniques and Technologies by Yu-Jin Zhang PDF

By Yu-Jin Zhang

Video and snapshot research of the human face offers a wealth of data concerning the person, , together with age, habit, future health and occupation. With examine regularly being performed into a number of functions of this box, a entire and unique quantity of the hot developments of face photograph research is favourite. Advances in face photo research: options and applied sciences fulfills this desire, reviewing and surveying new forward-thinking learn and improvement in face snapshot research applied sciences. With greater than 30 major specialists from world wide delivering entire assurance of varied branches of face photo research, this e-book is a important asset for college students, researchers and practitioners engaged within the examine, study and improvement of face photograph research recommendations.

Show description

Read or Download Advances in Face Image Analysis: Techniques and Technologies PDF

Similar forensic medicine books

Forensic Linguistics: Advances in Forensic Stylistics

Ted Kaczynski's manifesto. The ransom word for Jon Benét Ramsey. The anthrax letters threatening our govt and media enterprises. via forensic linguistics, the phrases criminals go away at the back of of their unsigned letters could be as certain as a signature or voice. even if the linguistic examine of language is definitely tested, this crucial analytical device is anything new for lots of jurors, judges, legal professionals, and different forensic experts facing either felony and civil circumstances.

Control Of Communicable Diseases Manual 18th Edition

The main well known sourcebook on infectious illnesses offers precise, exact, informative textual content for public medical examiners in legit and voluntary healthiness organizations, together with these serving within the military and different governmental firms, and for all scholars of drugs. each one directory is straightforward to learn and comprises identity, infectious agent, prevalence, mode of transmission, incubation interval, susceptibility and resistance.

General Methods in Biomarker Research and their Applications

Long ago decade there was a big sea switch within the means affliction is clinically determined and investigated as a result of introduction of excessive throughput applied sciences, comparable to microarrays, lab on a chip, proteomics, genomics, lipomics, metabolomics and so forth. those advances have enabled the invention of latest and novel markers of illness on the subject of autoimmune issues, cancers, endocrine illnesses, genetic problems, sensory harm, intestinal illnesses and so on.

Extra info for Advances in Face Image Analysis: Techniques and Technologies

Sample text

PAMI, 24(6), 780–788. , & Lumbreras, F. (2001). Topological principal component analysis for face encoding and recognition. PRL, 22(6-7), 769–776. , & Pentland, A. (2000). Bayesian face recognition. PR, 33(11), 1771-1782. , & Mirza, S. M. (2004). Face recognition: a review and comparison of HMM, PCA, ICA and neural networks. E-Tech, 41-46. , & Li, B. X. (2009). A Compressive Sensing Approach for Expression-Invariant Face Recognition. CVPR. , & Feng, D. (2008). Building highly realistic facial modeling and animation: A survey.

A new LDA-based face recognition system which can solve the small sample size problem. PR, 33, 1713-1726. , et al. (2005). 3D assisted face recognition: A survey of 3D imaging, modeling and recognition approaches. Proc. CVPR, 114-120. Ellis, H. D. (1986). Introduction to aspects of face processing: Ten questions in need of answers. Aspects of Face Processing, 3-13. Kong, S. , & Abidi, B. (2005). Recent advances in visual and infrared face recognition -- A review. Computer Vision and Image Understanding, 97(1), 103–135.

Considering the different images of the same subject as an ensemble of inter-correlated signals, the training images of a given subject can be represented with sufficient information for good classification by only two feature images: one captures the holistic (common) features of the face, and another captures the different expressions in all training samples. In addition, a new test image of a subject can be fairly well approximated using only the two feature images from the same subject. Thus, the storage space and operational Face, Image, and Analysis dimensionality could be drastically reduced by keeping only these two feature images or their random measurements.

Download PDF sample

Rated 4.51 of 5 – based on 34 votes